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Computational task offloading based on edge computing can deal with theperformance bottleneck of traditional cloud-based systems for Internet ofthings (IoT). To further optimize computing efficiency and resource allocation,collaborative offloading has been put forward to enable the offloading fromedge devices to IoT terminal devices. However, there still lack incentivemechanisms to encourage participants to take over tasks from others. To counterthis situation, this paper proposes a distributed computational resourcetrading strategy addressing multiple preferences of IoT users. Unlike mostexisting works, the objective of our trading strategy comprehensively considersdifferent satisfaction degrees with task delay, energy consumption, price, anduser reputation of both requesters and collaborators. The system design usesblockchain to enhance the decentralization, security, and automation. Comparedwith the trading method based on classical double auction matching mechanism,our trading strategy has more tasks offloaded and executed, and the tradingresults are friendlier to collaborators with good reputation.

A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences